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Journal : Register : Journal of English Language Teaching and Learning of FBS UNIMED

GOOGLE TRANSLATE ANALYSIS ERRORS IN ENGLISH-INDONESIA TRANSLATION TEXT: IDIOM CASES Napitupulu, Maya Farhanna; Kembaren, Farida Repelita Waty; Sambas, Ela Carmelia Mukti
REGISTER: Journal of English Language Teaching of FBS-Unimed Vol 12, No 4 (2023)
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/reg.v12i4.55153

Abstract

This article digs into the special issues of English-Indonesia translation, concentrating on the complex world of idiomatic phrases. Idioms, which are firmly ingrained in cultural nuances and linguistic complexity, provide a substantial challenge for automatic translation systems. The aims of this study is to examine morphological faults in translated texts using English idiom phrases translated by the Google Translate translation system. A qualitative research design with content analysis is used in this study. Discourse analysis is used in this study, and the research subjects are documents that were gathered from websites by researchers. The study employed document analysis as a means of data collecting by the researcher. By comparing the data to earlier studies on translation and morphology and examining mistakes in grasping idiomatic meaning, the researchers examined the data.  According to the findings of the study, there are three translation methods. Based on the morphology of the translation machine, there are eight GT translation errors. The study's findings give Google Translate valuable insight into the need for idiom translations to include additional morphological explanations in order to increase precision and to be revisited within the framework of morphological science.Keyword : Google Translate, English – Indonesian Translation,  Morphology, English Idiom